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Merge pull request lightspeed-core#1595 from tisnik/lcore-1841-final-slides
LCORE-1841: Final slides
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docs/demos/lcore/weak_points_for_ai.md

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## LCORE position in this environment
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* Luckily the architecture is (still) pretty simple
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* It can change rapidly with introducing new features
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- But it can change rapidly with introducing new features
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* Strict linting (compared to other Python-based apps)
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* A bit complection was already "achieved"
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* A bit level of complection was already "achieved"
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## Complection
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## Complection (Rich Hickey)
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* Stronger than simple coupling
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* Complected parts are entangled in purpose and behavior
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## Do you use AI to add new features?
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## Do you use AI to **add** new features?
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## Do you use AI to **add** new features?
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* Actually **no**
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* You are introducing new change that needs to be integrated
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* With the potential to worse the architecture
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* Avoiding runtime ad-hoc "polymorphism"
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- structural pattern matching
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- dynamic dispatch if really needed
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## Hints to help with context-awareness problem
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* Strongly typed code
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- it reduces problem space a lot
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- we talk about 10x, 100x, 1000x factor!

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